Transfyr is building physical AI for science.
Why is it that a professional athlete has dramatically more information about every play they make than a scientist has about the cause of any experimental failure? At Transfyr, we are building the infrastructure to make real-world scientific work legible, transferable, and reproducible.
Modern science is capable of extraordinary outcomes, but much of the most important insights never become explicit: how experiments are actually executed, protocols drift, how experts make gametime decisions on the fly, why experiments fail on Tuesdays. This tacit knowledge is rarely captured, making it difficult to reliably reproduce results, much less hand off protocols to new team members or collaborators. We believe our systematic failure to capture tacit knowledge is holding back the entire industry.
We’re building systems that operate directly in real laboratory environments to elucidate, capture, and interpret this missing information. Our platform records and analyzes multimodal data about how scientific work is performed and turns it into durable, operational knowledge. In doing so, we are also building the world’s largest commercial dataset on real-world scientific execution.
This foundation is critical not only for driving elite human performance today, but for enabling meaningful automation tomorrow. Physical AI systems cannot learn from outcomes alone; they require rich, grounded records of how work is actually done in the real world.
Key domains of expertise we’re looking for (hiring from entry level to senior leadership):
- Computer Vision: take messy real-world images and video and make sense of them
- AI / ML Research & Engineering: build the best digital brains to support the best physical brains on the planet
- Full Stack Engineering: integrate our AI and data into tools that solve real customer problems.
A change from when I posted here previously: we are now focused on on-site in-person roles, at our lab/office in Cambridge, MA. And, we are particularly interested in DevOps/backend experience for the full stack role.
If you're interested, apply here! https://transfyr.ai/join-us